T. Beati, M. Carrere, A. , and F. , Which reinforcing signals in autonomous systems?, Third International Symposium on Biology of Decision Making, 2013.
URL : https://hal.archives-ouvertes.fr/hal-00826603

R. Brette, M. Rudolph, T. Carnevale, M. Hines, D. Beeman et al., Simulation of networks of spiking neurons: A review of tools and strategies, Journal of Computational Neuroscience, vol.25, issue.54, pp.349-398, 2007.
DOI : 10.1007/s10827-007-0038-6

URL : https://hal.archives-ouvertes.fr/hal-00180662

M. Carrere and F. And-alexandre, ´ Emergence de catégories par interaction entre systèmes d'apprentissage, Conférence Francophone sur l'Apprentissage Automatique (CAP), 2013.

S. Chemla, F. Chavane, T. Vieville, and P. Kornprobst, Biophysical cortical column model for optical signal analysis, BMC Neuroscience, vol.8, issue.Suppl 2, p.140, 2007.
DOI : 10.1186/1471-2202-8-S2-P140

URL : https://hal.archives-ouvertes.fr/inria-00338370

D. Cofer, G. Cymbalyuk, J. Reid, Y. Zhu, W. J. Heitler et al., AnimatLab: A 3D graphics environment for neuromechanical simulations, Journal of Neuroscience Methods, vol.187, issue.2, pp.280-288, 2010.
DOI : 10.1016/j.jneumeth.2010.01.005

A. P. Davison, D. Brüderle, J. Eppler, J. Kremkow, E. Muller et al., PyNN: a common interface for neuronal network simulators, Frontiers in Neuroinformatics, vol.2, 2008.
DOI : 10.3389/neuro.11.011.2008

URL : https://hal.archives-ouvertes.fr/hal-00586786

N. Denoyelle and F. Pouget, Virtualenaction, user documentation, 2014.

K. Friston, A Free Energy Principle for Biological Systems, Entropy, vol.14, issue.11, pp.2100-2121, 2012.

R. Gorojosky and F. And-alexandre, Models of Hippocampus for pavlovian learning, 2013.
URL : https://hal.archives-ouvertes.fr/hal-00870700

A. Hyvärinen, Natural image statistics a probabilistic approach to early computational vision, 2009.

F. Pouget and N. Denoyelle, Virtualenaction, developer documentation, 2014.

W. Taouali, T. Viéville, N. P. Rougier, A. , and F. , No clock to rule them all, Journal of Physiology-Paris, vol.105, issue.1-3, pp.1-383, 2011.
DOI : 10.1016/j.jphysparis.2011.08.005

URL : https://hal.archives-ouvertes.fr/inria-00636532

E. Teftef, M. Escobar, A. Astudillo, C. Carvajal, B. Cessac et al., Modeling non-standard retinal in/out function using computer vision variational methods, 2013.
URL : https://hal.archives-ouvertes.fr/hal-00783091

S. Uithol, I. Van-rooij, H. Bekkering, and P. Haselager, Hierarchies in Action and Motor Control, Journal of Cognitive Neuroscience, vol.86, issue.5, pp.1077-1086, 2012.
DOI : 10.1371/journal.pcbi.1000220

URL : http://repository.ubn.ru.nl/bitstream/2066/102587/1/102587-OA.pdf

T. Viéville and S. Crahay, Using an Hebbian Learning Rule for Multi-Class SVM Classifiers, Journal of Computational Neuroscience, vol.17, issue.3, 2004.
DOI : 10.1023/B:JCNS.0000044873.20850.9c

T. Viéville and C. Vadot, An improved biologically plausible trajectory generator, 2006.